Emotion Classification from Multi-Band Electroencephalogram Data Using Dynamic Simplifying Graph Convolutional Network and Channel Style Recalibration Module

Emotion Classification from Multi-Band Electroencephalogram Data Using Dynamic Simplifying Graph Convolutional Network and Channel Style Recalibration Module

Because of its ability to objectively reflect people’s emotional states, electroencephalogram (EEG) has been attracting increasing research attention for emotion classification. The classification method based on spatial-domain analysis is one of the research hotspots. However, most previous studies...

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Bibliographic Details
Main Authors: Xiaoliang Zhu, Gendong Liu, Liang Zhao, Wenting Rong, Junyi Sun, Ran Liu
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
EEG
emotion classification
graph neural network
SRM
channel selection
Online Access:https://www.mdpi.com/1424-8220/23/4/1917

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